沉管法是建设水下大型隧道工程的重要工法.因此,沉管浮运是一项至关重要的任务.目前研究大都只考虑静态环境下的沉管浮运,但是实际的沉管浮运往往是一个动态多目标优化问题.为此,论文建立沉管浮运动态多目标优化模型.在该模型中,将沉管浮运的效率、安全性、鲁棒性作为三个目标.其次,根据实际情况将浮运方向和水流流速作为模型动态变量.最后,使用基于并行计算和滑动时间窗的动态多目标优化算法来对其进行求解.实验结果表明,相比于新近提出的知名动态多目标进化算法,基于并行计算的滑动时间窗(sliding time window based on parallel computing,STW-PC)方法可以辅助多目标进化算法得到更好解集;可以为动态环境下的沉管浮运提供有效决策支持.
Abstract
The immersed tunnel method is an important method to construct large underwater tunnels.Therefore,the transla-tion of immersed tunnel element is a crucial task.Most existing studies only consider the translation of immersed tunnel element in a static environment,but the actual translation of immersed tunnel element is often a dynamic multi-objective optimization problem.To this end,this paper proposes a dynamic multi-objective optimization model of immersed tunnel element translation.In this mod-el,the translation efficiency,the translation safety,and the robustness are three objectives.Moreover,the translation direction and water flow velocity are used as two dynamic variables.Finally,a dynamic multi-objective optimization algorithm based on parallel computing and sliding time windows(STW-PC)is used to solve it.The experimental results show that the STW-PC method can as-sist the multi-objective evolutionary algorithm in obtaining better solution sets when compared with a recently proposed dynamic multi-objective evolutionary algorithm,and the proposed algorithm can provide decision support for immersed tunnel element trans-lation in a dynamic environment.
关键词
沉管浮运/动态多目标优化/进化计算/高性能计算
Key words
translation of immersed tunnel element/dynamic multi-objective optimization/evolutionary computing/high performance computing
维普
万方数据